An error with the copy model

Answered

Nazmi Şener

• August 07, 2024 15:51

To whom it may interest,

I am coding an algorithm which I must change a model's objective in the copied model. I tried a lot. however I cannot find a way to handle the problem below.

PS C:\Users\90554> & C:/ProgramData/anaconda3/python.exe d:/Github/docentlik_jcp/stoc_trial_3.py
Enter the scenario number50
Set parameter Username
Academic license - for non-commercial use only - expires 2025-03-05
fstage 5
Traceback (most recent call last):
  File "d:\Github\docentlik_jcp\stoc_trial_3.py", line 462, in <module>
    res,elapsed,cg_values =stoc_chang(S,pval,7200)
  File "d:\Github\docentlik_jcp\stoc_trial_3.py", line 339, in stoc_chang
    obj_lagrangian1 = gp.LinExpr(sum(xlambda[i, t] * (-p[i,t,s] + Cg_hat[i, t] + sum(subprob1.getVarByName(f"q_in[{b}, {i}, {t}]") / dist for b in range(B)) - sum(subprob1.getVarByName(f"q_out[{b}, {i}, {t}]") / dist for b in range(B)) + L * prod1[i,t] - sum(subprob1.getVarByName(f"f{j}.{i}.{t}")for j in range(n) if i != j) + subprob1.getVarByName(f"Pg{i}.{t}")+ subprob1.getVarByName(f"delta{i}.{t}")+ sum(subprob1.getVarByName(f"f{i}.{j}.{t}") for j in range(n) if i != j)) for i in range(n) for t in range(1, T)))
  File "d:\Github\docentlik_jcp\stoc_trial_3.py", line 339, in <genexpr>
    obj_lagrangian1 = gp.LinExpr(sum(xlambda[i, t] * (-p[i,t,s] + Cg_hat[i, t] + sum(subprob1.getVarByName(f"q_in[{b}, {i}, {t}]") / dist for b in range(B)) - sum(subprob1.getVarByName(f"q_out[{b}, {i}, {t}]") / dist for b in range(B)) + L * prod1[i,t] - sum(subprob1.getVarByName(f"f{j}.{i}.{t}")for j in range(n) if i != j) + subprob1.getVarByName(f"Pg{i}.{t}")+ subprob1.getVarByName(f"delta{i}.{t}")+ sum(subprob1.getVarByName(f"f{i}.{j}.{t}") for j in range(n) if i != j)) for i in range(n) for t in range(1, T)))
  File "d:\Github\docentlik_jcp\stoc_trial_3.py", line 339, in <genexpr>
    obj_lagrangian1 = gp.LinExpr(sum(xlambda[i, t] * (-p[i,t,s] + Cg_hat[i, t] + sum(subprob1.getVarByName(f"q_in[{b}, {i}, {t}]") / dist for b in range(B)) - sum(subprob1.getVarByName(f"q_out[{b}, {i}, {t}]") / dist for b in range(B)) + L * prod1[i,t] - sum(subprob1.getVarByName(f"f{j}.{i}.{t}")for j in range(n) if i != j) + subprob1.getVarByName(f"Pg{i}.{t}")+ subprob1.getVarByName(f"delta{i}.{t}")+ sum(subprob1.getVarByName(f"f{i}.{j}.{t}") for j in range(n) if i != j)) for i in range(n) for t in range(1, T)))
TypeError: unsupported operand type(s) for /: 'NoneType' and 'float'

I want to add a minimal working example. However it does not work for my model. So that I add a link of my code.

https://drive.google.com/file/d/1tBy18ugTEek918h8h5L-LqGIul7aCYSq/view?usp=drive_link

I appeciate all kind of helps,

Cheers,

Nazmi 

0

• 

  Riley Clement

  Gurobi Staff

  • August 08, 2024 05:13

  Hi Nazmi,

  The error message:

  TypeError: unsupported operand type(s) for /: 'NoneType' and 'float'

  is telling you that you are trying to divide ( "/" ) None by a float, and it shows you the line that it is happening:

  obj_lagrangian1 = gp.LinExpr(sum(xlambda[i, t] * (-p[i,t,s] + Cg_hat[i, t] + sum(subprob1.getVarByName(f"q_in[{b}, {i}, {t}]") / dist for b in range(B)) - sum(subprob1.getVarByName(f"q_out[{b}, {i}, {t}]") / dist for b in range(B)) + L * prod1[i,t] - sum(subprob1.getVarByName(f"f{j}.{i}.{t}")for j in range(n) if i != j) + subprob1.getVarByName(f"Pg{i}.{t}")+ subprob1.getVarByName(f"delta{i}.{t}")+ sum(subprob1.getVarByName(f"f{i}.{j}.{t}") for j in range(n) if i != j)) for i in range(n) for t in range(1, T)))
  

  In this line you are using division here:

  subprob1.getVarByName(f"q_in[{b}, {i}, {t}]") / dist

  and here

  subprob1.getVarByName(f"q_out[{b}, {i}, {t}]") / dist

  If a variable doesn't exist with the name given as an argument to Model.getVarByName then this function returns none.  To debug try and discover which names are returning None, and why.

  - Riley

   

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